Evidence map›Paper›PMID 42638665›Full record

ArticleFrontiers in public health2026

Relationship between mobile phone use and multidimensional frailty: evidence from UK Biobank.

Shuo Kong, Shuishan Xu, Songyu Wu, Changgui Kou, Wei Bai

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shuo KongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Shuishan XuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Songyu WuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Changgui Kou *Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Wei Bai *Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the longitudinal temporal relationships between weekly mobile phone call time and four dimensions of frailty. Methods: Data were derived from three instances (T1, T2, T3) of the UK Biobank. Frailty encompassed four dimensions: psychological, physical, social, and cognitive. Separate Random Intercept Cross-Lagged Panel Models (RI-CLPM) were constructed for each frailty dimension with weekly mobile phone call time, measured by self-reported weekly mobile phone call time standardized to baseline. Chi-square difference tests and the BIC were adopted for model comparisons. Results: This study included 5,533 participants aged 40-70 years. Unconstrained models outperformed constrained models for all dimensions ( Conclusion: This study examined prospective within-person associations between weekly mobile phone call time and frailty dimensions in a middle-aged and older adult sample (baseline age 40-70 years). After FDR correction for multiple testing, most cross-lagged associations were not statistically significant. Only two paths reached significance or marginal significance: social frailty T2 → weekly mobile phone call time T3 (β = 0.078,

Indexed as

Cell PhoneCell Phone UseFrailtyAdultAgedBiological Specimen BanksFemaleHumansLongitudinal StudiesMaleMiddle AgedTime FactorsUK BiobankUnited Kingdomcognitive functionlongitudinal studymultidimensional frailtyolder adultsphysical performanceRI-CLPMweekly mobile phone call time

Identifiers

PMID42638665
PMCPMC13500240

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.